BBAI — BigBear.ai Holdings Inc
Technology · Information Technology Services · Applied AI: industrial, defense & vertical
About BigBear.ai Holdings Inc
BigBear.ai Holdings, Inc. provides artificial intelligence-powered decision intelligence solutions for national security, supply chain management, and digital identity markets. It offers supply chain and logistics solutions, such as Data Conflation at Scale, which offers a view of operations enabling real-time tracking of inventory and facilitating predictive analytics to optimize functions, including routes and delivery times; Discrete Event Simulation, a course of action analysis and digital twin solution; and Next-Gen Decision Support solution for macroeconomic and geopolitical forecasting. The company also provides cybersecurity solutions, such as artificial intelligence (AI)-powered/machine-accelerated binary analysis, cyber-physical systems vulnerability testing and evaluation, vulnerability assessment as a service, and specialized
Applied AI: industrial, defense & vertical
These companies apply AI and autonomy to specific real-world domains — industrials, defense, space, robotics and other verticals. The link to AI runs through software, sensors, autonomy and the data these systems generate and analyze. Many are earlier-stage or project-driven, so results can be lumpy and tied to government budgets, contract timing and execution. BigBear.ai Holdings Inc is tracked in this sub-theme as a Information Technology Services name — see the full Applied AI: industrial, defense & vertical list.
Key data · delayed ~15 min, as of 8 July 2026
| Ticker | BBAI |
| Company | BigBear.ai Holdings Inc |
| Price | $3.58 |
| Market cap | $1.6B |
| Sector / industry | Technology / Information Technology Services |
| Performance | 1W +2.9% · 1M -25.9% · 1Y -54.0% |
| Analyst mean target | $5 (3 analysts, none) |
Valuation read
What the price implies: no positive forward earnings to anchor a growth read — this name is priced on revenue and story, not profits. Watch the path to profitability rather than a multiple.
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